Overview

Dataset statistics

Number of variables81
Number of observations100
Missing cells475
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.4 KiB
Average record size in memory649.3 B

Variable types

CAT48
NUM28
BOOL4
UNSUPPORTED1

Warnings

Utilities has constant value "100" Constant
PoolArea has constant value "100" Constant
GarageArea is highly correlated with GarageCarsHigh correlation
GarageCars is highly correlated with GarageAreaHigh correlation
Condition1 is highly correlated with StreetHigh correlation
Street is highly correlated with Condition1High correlation
RoofMatl is highly correlated with LandContour and 2 other fieldsHigh correlation
LandContour is highly correlated with RoofMatlHigh correlation
BsmtFullBath is highly correlated with RoofMatlHigh correlation
FullBath is highly correlated with RoofMatlHigh correlation
LotFrontage has 14 (14.0%) missing values Missing
Alley has 94 (94.0%) missing values Missing
BsmtQual has 3 (3.0%) missing values Missing
BsmtCond has 3 (3.0%) missing values Missing
BsmtExposure has 3 (3.0%) missing values Missing
BsmtFinType1 has 3 (3.0%) missing values Missing
BsmtFinType2 has 3 (3.0%) missing values Missing
FireplaceQu has 54 (54.0%) missing values Missing
GarageType has 6 (6.0%) missing values Missing
GarageYrBlt has 6 (6.0%) missing values Missing
GarageFinish has 6 (6.0%) missing values Missing
GarageQual has 6 (6.0%) missing values Missing
GarageCond has 6 (6.0%) missing values Missing
PoolQC has 100 (100.0%) missing values Missing
Fence has 77 (77.0%) missing values Missing
MiscFeature has 91 (91.0%) missing values Missing
Alley is uniformly distributed Uniform
Id has unique values Unique
PoolQC is an unsupported type, check if it needs cleaning or further analysis Unsupported
MasVnrArea has 60 (60.0%) zeros Zeros
BsmtFinSF1 has 34 (34.0%) zeros Zeros
BsmtFinSF2 has 91 (91.0%) zeros Zeros
BsmtUnfSF has 7 (7.0%) zeros Zeros
TotalBsmtSF has 3 (3.0%) zeros Zeros
2ndFlrSF has 65 (65.0%) zeros Zeros
GarageArea has 6 (6.0%) zeros Zeros
WoodDeckSF has 52 (52.0%) zeros Zeros
OpenPorchSF has 42 (42.0%) zeros Zeros
EnclosedPorch has 83 (83.0%) zeros Zeros
ScreenPorch has 95 (95.0%) zeros Zeros
MiscVal has 91 (91.0%) zeros Zeros

Reproduction

Analysis started2022-04-24 16:49:16.527962
Analysis finished2022-04-24 16:50:56.730771
Duration1 minute and 40.2 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

Id
Real number (ℝ≥0)

UNIQUE

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:50:56.904452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.01149198
Coefficient of variation (CV)0.5744849896
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.6666667
MonotocityStrictly increasing
2022-04-24T18:50:57.139607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
111.0%
 
6411.0%
 
7411.0%
 
7311.0%
 
7211.0%
 
7111.0%
 
7011.0%
 
6911.0%
 
6811.0%
 
6711.0%
 
Other values (90)9090.0%
 
ValueCountFrequency (%) 
111.0%
 
211.0%
 
311.0%
 
411.0%
 
511.0%
 
ValueCountFrequency (%) 
10011.0%
 
9911.0%
 
9811.0%
 
9711.0%
 
9611.0%
 

MSSubClass
Real number (ℝ≥0)

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum20
Maximum190
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:50:57.343959image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median45
Q360
95-th percentile160
Maximum190
Range170
Interquartile range (IQR)40

Descriptive statistics

Standard deviation42.54528188
Coefficient of variation (CV)0.8181784977
Kurtosis2.78653923
Mean52
Median Absolute Deviation (MAD)25
Skewness1.72562696
Sum5200
Variance1810.10101
MonotocityNot monotonic
2022-04-24T18:50:57.501143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
204545.0%
 
601818.0%
 
5099.0%
 
12055.0%
 
9044.0%
 
3044.0%
 
7033.0%
 
19033.0%
 
4522.0%
 
8022.0%
 
Other values (4)55.0%
 
ValueCountFrequency (%) 
204545.0%
 
3044.0%
 
4522.0%
 
5099.0%
 
601818.0%
 
ValueCountFrequency (%) 
19033.0%
 
18011.0%
 
16022.0%
 
12055.0%
 
9044.0%
 

MSZoning
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
RL
78 
RM
16 
C (all)
 
3
FV
 
3
ValueCountFrequency (%) 
RL7878.0%
 
RM1616.0%
 
C (all)33.0%
 
FV33.0%
 
2022-04-24T18:50:57.705031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:50:57.848784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:57.997217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length2
Mean length2.15
Min length2

LotFrontage
Real number (ℝ≥0)

MISSING

Distinct44
Distinct (%)51.2%
Missing14
Missing (%)14.0%
Infinite0
Infinite (%)0.0%
Mean71.40697674
Minimum21
Maximum122
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:50:58.200398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile41
Q160
median70
Q384
95-th percentile110
Maximum122
Range101
Interquartile range (IQR)24

Descriptive statistics

Standard deviation21.09383958
Coefficient of variation (CV)0.2954030621
Kurtosis0.1244221368
Mean71.40697674
Median Absolute Deviation (MAD)10.5
Skewness0.2460406447
Sum6141
Variance444.9500684
MonotocityNot monotonic
2022-04-24T18:50:58.436290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
601212.0%
 
8566.0%
 
5044.0%
 
7044.0%
 
6833.0%
 
8433.0%
 
7233.0%
 
6633.0%
 
8033.0%
 
6522.0%
 
Other values (34)4343.0%
 
(Missing)1414.0%
 
ValueCountFrequency (%) 
2111.0%
 
2411.0%
 
3211.0%
 
3311.0%
 
4011.0%
 
ValueCountFrequency (%) 
12211.0%
 
12111.0%
 
11511.0%
 
11211.0%
 
11022.0%
 

LotArea
Real number (ℝ≥0)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10115.87
Minimum1596
Maximum50271
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:50:58.670578image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1596
5-th percentile4497.8
Q17643.25
median9595.5
Q311243.25
95-th percentile15616.3
Maximum50271
Range48675
Interquartile range (IQR)3600

Descriptive statistics

Standard deviation5130.541763
Coefficient of variation (CV)0.5071775105
Kurtosis37.70343314
Mean10115.87
Median Absolute Deviation (MAD)1868
Skewness4.920116424
Sum1011587
Variance26322458.78
MonotocityNot monotonic
2022-04-24T18:50:58.924997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
720055.0%
 
850022.0%
 
612022.0%
 
845011.0%
 
937511.0%
 
1014111.0%
 
759911.0%
 
1365111.0%
 
1559311.0%
 
460811.0%
 
Other values (84)8484.0%
 
ValueCountFrequency (%) 
159611.0%
 
264511.0%
 
395111.0%
 
422411.0%
 
445611.0%
 
ValueCountFrequency (%) 
5027111.0%
 
1990011.0%
 
1690511.0%
 
1632111.0%
 
1605911.0%
 

Street
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Pave
99 
Grvl
 
1
ValueCountFrequency (%) 
Pave9999.0%
 
Grvl11.0%
 
2022-04-24T18:50:59.127896image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:50:59.252882image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:59.362255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length4
Mean length4
Min length4

Alley
Categorical

MISSING
UNIFORM

Distinct2
Distinct (%)33.3%
Missing94
Missing (%)94.0%
Memory size800.0 B
Grvl
Pave
ValueCountFrequency (%) 
Grvl33.0%
 
Pave33.0%
 
(Missing)9494.0%
 
2022-04-24T18:50:59.534102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:50:59.661971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:59.787324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length3
Mean length3.06
Min length3

LotShape
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Reg
60 
IR1
34 
IR2
 
6
ValueCountFrequency (%) 
Reg6060.0%
 
IR13434.0%
 
IR266.0%
 
2022-04-24T18:50:59.951845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:00.080827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:00.218078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

LandContour
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Lvl
91 
Bnk
 
5
HLS
 
3
Low
 
1
ValueCountFrequency (%) 
Lvl9191.0%
 
Bnk55.0%
 
HLS33.0%
 
Low11.0%
 
2022-04-24T18:51:00.411468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:00.536667image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:00.666004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

Utilities
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
AllPub
100 
ValueCountFrequency (%) 
AllPub100100.0%
 
2022-04-24T18:51:00.845240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:00.956315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:01.066036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length6
Min length6

LotConfig
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Inside
64 
Corner
26 
CulDSac
FR2
 
3
ValueCountFrequency (%) 
Inside6464.0%
 
Corner2626.0%
 
CulDSac77.0%
 
FR233.0%
 
2022-04-24T18:51:01.253515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:01.379549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:01.536023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length6
Mean length5.98
Min length3

LandSlope
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Gtl
98 
Mod
 
2
ValueCountFrequency (%) 
Gtl9898.0%
 
Mod22.0%
 
2022-04-24T18:51:01.729541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:01.869981image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:01.989054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

Neighborhood
Categorical

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
NAmes
21 
CollgCr
14 
NridgHt
OldTown
Sawyer
Other values (15)
42 
ValueCountFrequency (%) 
NAmes2121.0%
 
CollgCr1414.0%
 
NridgHt99.0%
 
OldTown77.0%
 
Sawyer77.0%
 
Somerst55.0%
 
Gilbert55.0%
 
BrkSide55.0%
 
IDOTRR55.0%
 
Mitchel44.0%
 
Other values (10)1818.0%
 
2022-04-24T18:51:02.202783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)4.0%
2022-04-24T18:51:02.424870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length6.44
Min length5

Condition1
Categorical

HIGH CORRELATION

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Norm
87 
Feedr
 
4
Artery
 
3
RRAe
 
2
PosN
 
1
Other values (3)
 
3
ValueCountFrequency (%) 
Norm8787.0%
 
Feedr44.0%
 
Artery33.0%
 
RRAe22.0%
 
PosN11.0%
 
RRNn11.0%
 
RRAn11.0%
 
PosA11.0%
 
2022-04-24T18:51:02.623681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)4.0%
2022-04-24T18:51:02.756203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:02.922713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length4
Mean length4.1
Min length4

Condition2
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Norm
96 
Feedr
 
2
Artery
 
1
RRNn
 
1
ValueCountFrequency (%) 
Norm9696.0%
 
Feedr22.0%
 
Artery11.0%
 
RRNn11.0%
 
2022-04-24T18:51:03.118669image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)2.0%
2022-04-24T18:51:03.237600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:03.416525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length4
Mean length4.04
Min length4

BldgType
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
1Fam
85 
TwnhsE
 
6
Duplex
 
4
2fmCon
 
3
Twnhs
 
2
ValueCountFrequency (%) 
1Fam8585.0%
 
TwnhsE66.0%
 
Duplex44.0%
 
2fmCon33.0%
 
Twnhs22.0%
 
2022-04-24T18:51:03.623177image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:03.748612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:03.940362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length4
Mean length4.28
Min length4

HouseStyle
Categorical

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
1Story
58 
2Story
26 
1.5Fin
1.5Unf
 
3
SLvl
 
3
Other values (2)
 
3
ValueCountFrequency (%) 
1Story5858.0%
 
2Story2626.0%
 
1.5Fin77.0%
 
1.5Unf33.0%
 
SLvl33.0%
 
2.5Unf22.0%
 
SFoyer11.0%
 
2022-04-24T18:51:04.150915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:04.287066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:04.470121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length5.94
Min length4

OverallQual
Real number (ℝ≥0)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.98
Minimum3
Maximum10
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:04.639127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q15
median6
Q37
95-th percentile8.05
Maximum10
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.530696019
Coefficient of variation (CV)0.255969234
Kurtosis-0.6513121043
Mean5.98
Median Absolute Deviation (MAD)1
Skewness0.3446336636
Sum598
Variance2.343030303
MonotocityNot monotonic
2022-04-24T18:51:04.810489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
53131.0%
 
71919.0%
 
61515.0%
 
81414.0%
 
41414.0%
 
944.0%
 
322.0%
 
1011.0%
 
ValueCountFrequency (%) 
322.0%
 
41414.0%
 
53131.0%
 
61515.0%
 
71919.0%
 
ValueCountFrequency (%) 
1011.0%
 
944.0%
 
81414.0%
 
71919.0%
 
61515.0%
 

OverallCond
Real number (ℝ≥0)

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5
Minimum2
Maximum8
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:04.978787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q15
median5
Q36
95-th percentile7
Maximum8
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9795896894
Coefficient of variation (CV)0.1781072163
Kurtosis1.816561402
Mean5.5
Median Absolute Deviation (MAD)0
Skewness0.3618428984
Sum550
Variance0.9595959596
MonotocityNot monotonic
2022-04-24T18:51:05.136998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
55959.0%
 
62121.0%
 
71212.0%
 
844.0%
 
422.0%
 
211.0%
 
311.0%
 
ValueCountFrequency (%) 
211.0%
 
311.0%
 
422.0%
 
55959.0%
 
62121.0%
 
ValueCountFrequency (%) 
844.0%
 
71212.0%
 
62121.0%
 
55959.0%
 
422.0%
 

YearBuilt
Real number (ℝ≥0)

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1971.41
Minimum1910
Maximum2009
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:05.344285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1910
5-th percentile1919.75
Q11954.75
median1970
Q32000.25
95-th percentile2006.05
Maximum2009
Range99
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation29.37328375
Coefficient of variation (CV)0.01489963211
Kurtosis-0.8589436349
Mean1971.41
Median Absolute Deviation (MAD)26
Skewness-0.4586958339
Sum197141
Variance862.789798
MonotocityNot monotonic
2022-04-24T18:51:05.574886image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
200466.0%
 
200555.0%
 
200744.0%
 
192044.0%
 
195944.0%
 
200644.0%
 
199733.0%
 
196833.0%
 
200333.0%
 
197333.0%
 
Other values (44)6161.0%
 
ValueCountFrequency (%) 
191022.0%
 
191533.0%
 
192044.0%
 
192122.0%
 
192711.0%
 
ValueCountFrequency (%) 
200911.0%
 
200744.0%
 
200644.0%
 
200555.0%
 
200466.0%
 

YearRemodAdd
Real number (ℝ≥0)

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1983.92
Minimum1950
Maximum2009
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:05.800023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1950
5-th percentile1950
Q11964.75
median1994
Q32003.25
95-th percentile2007
Maximum2009
Range59
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation20.96735317
Coefficient of variation (CV)0.01056864852
Kurtosis-1.473551487
Mean1983.92
Median Absolute Deviation (MAD)13
Skewness-0.3872942722
Sum198392
Variance439.629899
MonotocityNot monotonic
2022-04-24T18:51:06.016112image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
19501111.0%
 
200688.0%
 
200566.0%
 
200755.0%
 
195944.0%
 
196544.0%
 
200344.0%
 
199844.0%
 
197333.0%
 
199733.0%
 
Other values (32)4848.0%
 
ValueCountFrequency (%) 
19501111.0%
 
195311.0%
 
195522.0%
 
195611.0%
 
195944.0%
 
ValueCountFrequency (%) 
200911.0%
 
200822.0%
 
200755.0%
 
200688.0%
 
200566.0%
 

RoofStyle
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Gable
79 
Hip
19 
Gambrel
 
2
ValueCountFrequency (%) 
Gable7979.0%
 
Hip1919.0%
 
Gambrel22.0%
 
2022-04-24T18:51:06.259931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:06.398568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:06.545165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length5
Mean length4.66
Min length3

RoofMatl
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
CompShg
99 
WdShngl
 
1
ValueCountFrequency (%) 
CompShg9999.0%
 
WdShngl11.0%
 
2022-04-24T18:51:06.751126image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:06.885220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:07.016311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length7
Min length7

Exterior1st
Categorical

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
VinylSd
39 
MetalSd
15 
Wd Sdng
14 
HdBoard
14 
BrkFace
Other values (5)
11 
ValueCountFrequency (%) 
VinylSd3939.0%
 
MetalSd1515.0%
 
Wd Sdng1414.0%
 
HdBoard1414.0%
 
BrkFace77.0%
 
Plywood55.0%
 
WdShing22.0%
 
CemntBd22.0%
 
AsbShng11.0%
 
Stucco11.0%
 
2022-04-24T18:51:07.206136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)2.0%
2022-04-24T18:51:07.362380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:07.565977image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length6.99
Min length6

Exterior2nd
Categorical

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
VinylSd
39 
MetalSd
15 
Wd Sdng
15 
HdBoard
11 
Plywood
10 
Other values (5)
10 
ValueCountFrequency (%) 
VinylSd3939.0%
 
MetalSd1515.0%
 
Wd Sdng1515.0%
 
HdBoard1111.0%
 
Plywood1010.0%
 
Wd Shng44.0%
 
CmentBd22.0%
 
BrkFace22.0%
 
Stucco11.0%
 
AsbShng11.0%
 
2022-04-24T18:51:07.762085image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)2.0%
2022-04-24T18:51:07.919188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:08.121546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length7
Mean length6.99
Min length6

MasVnrType
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
None
60 
BrkFace
28 
Stone
10 
BrkCmn
 
2
ValueCountFrequency (%) 
None6060.0%
 
BrkFace2828.0%
 
Stone1010.0%
 
BrkCmn22.0%
 
2022-04-24T18:51:08.320089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:08.448919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:08.615072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length4
Mean length4.98
Min length4

MasVnrArea
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.64
Minimum0
Maximum1115
Zeros60
Zeros (%)60.0%
Memory size800.0 B
2022-04-24T18:51:08.814995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3188.5
95-th percentile573.15
Maximum1115
Range1115
Interquartile range (IQR)188.5

Descriptive statistics

Standard deviation213.5539825
Coefficient of variation (CV)1.755623006
Kurtosis7.044170437
Mean121.64
Median Absolute Deviation (MAD)0
Skewness2.43926968
Sum12164
Variance45605.30343
MonotocityNot monotonic
2022-04-24T18:51:09.046954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
06060.0%
 
57611.0%
 
17811.0%
 
57311.0%
 
34411.0%
 
28711.0%
 
16711.0%
 
111511.0%
 
4011.0%
 
10411.0%
 
Other values (31)3131.0%
 
ValueCountFrequency (%) 
06060.0%
 
2211.0%
 
4011.0%
 
4811.0%
 
6611.0%
 
ValueCountFrequency (%) 
111511.0%
 
103111.0%
 
65011.0%
 
64011.0%
 
57611.0%
 

ExterQual
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
TA
68 
Gd
25 
Ex
 
5
Fa
 
2
ValueCountFrequency (%) 
TA6868.0%
 
Gd2525.0%
 
Ex55.0%
 
Fa22.0%
 
2022-04-24T18:51:09.288453image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:09.430438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:09.570312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

ExterCond
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
TA
87 
Gd
11 
Fa
 
2
ValueCountFrequency (%) 
TA8787.0%
 
Gd1111.0%
 
Fa22.0%
 
2022-04-24T18:51:09.746339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:09.859277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:09.993621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

Foundation
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
CBlock
43 
PConc
42 
BrkTil
12 
Slab
 
2
Wood
 
1
ValueCountFrequency (%) 
CBlock4343.0%
 
PConc4242.0%
 
BrkTil1212.0%
 
Slab22.0%
 
Wood11.0%
 
2022-04-24T18:51:10.189877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:10.308334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:10.474863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length6
Median length6
Mean length5.52
Min length4

BsmtQual
Categorical

MISSING

Distinct4
Distinct (%)4.1%
Missing3
Missing (%)3.0%
Memory size800.0 B
TA
46 
Gd
37 
Ex
13 
Fa
 
1
ValueCountFrequency (%) 
TA4646.0%
 
Gd3737.0%
 
Ex1313.0%
 
Fa11.0%
 
(Missing)33.0%
 
2022-04-24T18:51:10.677951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:10.810676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:10.963517image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length2.03
Min length2

BsmtCond
Categorical

MISSING

Distinct3
Distinct (%)3.1%
Missing3
Missing (%)3.0%
Memory size800.0 B
TA
90 
Gd
 
4
Fa
 
3
ValueCountFrequency (%) 
TA9090.0%
 
Gd44.0%
 
Fa33.0%
 
(Missing)33.0%
 
2022-04-24T18:51:11.163717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:11.291351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:11.425682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length2.03
Min length2

BsmtExposure
Categorical

MISSING

Distinct4
Distinct (%)4.1%
Missing3
Missing (%)3.0%
Memory size800.0 B
No
66 
Av
16 
Gd
Mn
 
6
ValueCountFrequency (%) 
No6666.0%
 
Av1616.0%
 
Gd99.0%
 
Mn66.0%
 
(Missing)33.0%
 
2022-04-24T18:51:11.613975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:11.741783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:11.880910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length2.03
Min length2

BsmtFinType1
Categorical

MISSING

Distinct6
Distinct (%)6.2%
Missing3
Missing (%)3.0%
Memory size800.0 B
Unf
31 
GLQ
27 
ALQ
19 
Rec
BLQ
ValueCountFrequency (%) 
Unf3131.0%
 
GLQ2727.0%
 
ALQ1919.0%
 
Rec99.0%
 
BLQ88.0%
 
LwQ33.0%
 
(Missing)33.0%
 
2022-04-24T18:51:12.068781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:12.208027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:12.363635image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

BsmtFinSF1
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454.56
Minimum0
Maximum1880
Zeros34
Zeros (%)34.0%
Memory size800.0 B
2022-04-24T18:51:12.559115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median416
Q3737.5
95-th percentile1220.95
Maximum1880
Range1880
Interquartile range (IQR)737.5

Descriptive statistics

Standard deviation462.0349219
Coefficient of variation (CV)1.016444302
Kurtosis0.01918381404
Mean454.56
Median Absolute Deviation (MAD)416
Skewness0.7877419067
Sum45456
Variance213476.2691
MonotocityNot monotonic
2022-04-24T18:51:12.809801image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03434.0%
 
2422.0%
 
10411.0%
 
181011.0%
 
38411.0%
 
49011.0%
 
64911.0%
 
63211.0%
 
46211.0%
 
94111.0%
 
Other values (56)5656.0%
 
ValueCountFrequency (%) 
03434.0%
 
2422.0%
 
3311.0%
 
10411.0%
 
10811.0%
 
ValueCountFrequency (%) 
188011.0%
 
181011.0%
 
136911.0%
 
135111.0%
 
127711.0%
 

BsmtFinType2
Categorical

MISSING

Distinct6
Distinct (%)6.2%
Missing3
Missing (%)3.0%
Memory size800.0 B
Unf
88 
BLQ
 
4
GLQ
 
2
ALQ
 
1
Rec
 
1
ValueCountFrequency (%) 
Unf8888.0%
 
BLQ44.0%
 
GLQ22.0%
 
ALQ11.0%
 
Rec11.0%
 
LwQ11.0%
 
(Missing)33.0%
 
2022-04-24T18:51:14.191890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)3.1%
2022-04-24T18:51:14.319042image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:14.473714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

BsmtFinSF2
Real number (ℝ≥0)

ZEROS

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.91
Minimum0
Maximum712
Zeros91
Zeros (%)91.0%
Memory size800.0 B
2022-04-24T18:51:14.628143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile368.2
Maximum712
Range712
Interquartile range (IQR)0

Descriptive statistics

Standard deviation131.5751577
Coefficient of variation (CV)3.880128508
Kurtosis15.52394478
Mean33.91
Median Absolute Deviation (MAD)0
Skewness4.035510259
Sum3391
Variance17312.02212
MonotocityNot monotonic
2022-04-24T18:51:14.788786image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
09191.0%
 
3211.0%
 
66811.0%
 
48611.0%
 
9311.0%
 
49111.0%
 
50611.0%
 
71211.0%
 
36211.0%
 
4111.0%
 
ValueCountFrequency (%) 
09191.0%
 
3211.0%
 
4111.0%
 
9311.0%
 
36211.0%
 
ValueCountFrequency (%) 
71211.0%
 
66811.0%
 
50611.0%
 
49111.0%
 
48611.0%
 

BsmtUnfSF
Real number (ℝ≥0)

ZEROS

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean558.79
Minimum0
Maximum1777
Zeros7
Zeros (%)7.0%
Memory size800.0 B
2022-04-24T18:51:15.012729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1203
median440
Q3820
95-th percentile1495.8
Maximum1777
Range1777
Interquartile range (IQR)617

Descriptive statistics

Standard deviation448.5991956
Coefficient of variation (CV)0.8028046235
Kurtosis0.1712825162
Mean558.79
Median Absolute Deviation (MAD)263.5
Skewness0.9585837734
Sum55879
Variance201241.2383
MonotocityNot monotonic
2022-04-24T18:51:15.241663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
077.0%
 
44033.0%
 
61222.0%
 
42622.0%
 
83222.0%
 
52022.0%
 
31811.0%
 
34311.0%
 
70111.0%
 
74711.0%
 
Other values (78)7878.0%
 
ValueCountFrequency (%) 
077.0%
 
3211.0%
 
3611.0%
 
6411.0%
 
8311.0%
 
ValueCountFrequency (%) 
177711.0%
 
176811.0%
 
163211.0%
 
156611.0%
 
153011.0%
 

TotalBsmtSF
Real number (ℝ≥0)

ZEROS

Distinct90
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1047.26
Minimum0
Maximum2223
Zeros3
Zeros (%)3.0%
Memory size800.0 B
2022-04-24T18:51:15.494425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile437.2
Q1822
median1034.5
Q31268.5
95-th percentile1752.8
Maximum2223
Range2223
Interquartile range (IQR)446.5

Descriptive statistics

Standard deviation408.5003028
Coefficient of variation (CV)0.3900657934
Kurtosis0.5864173914
Mean1047.26
Median Absolute Deviation (MAD)218.5
Skewness0.03811081156
Sum104726
Variance166872.4974
MonotocityNot monotonic
2022-04-24T18:51:15.729252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
033.0%
 
105722.0%
 
38422.0%
 
81622.0%
 
95222.0%
 
84022.0%
 
104022.0%
 
115822.0%
 
83222.0%
 
114311.0%
 
Other values (80)8080.0%
 
ValueCountFrequency (%) 
033.0%
 
38422.0%
 
44011.0%
 
45811.0%
 
46211.0%
 
ValueCountFrequency (%) 
222311.0%
 
194711.0%
 
184211.0%
 
177711.0%
 
176811.0%
 

Heating
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
GasA
98 
GasW
 
2
ValueCountFrequency (%) 
GasA9898.0%
 
GasW22.0%
 
2022-04-24T18:51:15.932724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:16.058921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:16.184651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length4
Mean length4
Min length4

HeatingQC
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Ex
51 
TA
27 
Gd
19 
Fa
 
3
ValueCountFrequency (%) 
Ex5151.0%
 
TA2727.0%
 
Gd1919.0%
 
Fa33.0%
 
2022-04-24T18:51:16.356454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:16.465858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:16.606856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

CentralAir
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Y
90 
N
10 
ValueCountFrequency (%) 
Y9090.0%
 
N1010.0%
 
2022-04-24T18:51:16.731139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Electrical
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
SBrkr
92 
FuseA
 
4
FuseF
 
3
FuseP
 
1
ValueCountFrequency (%) 
SBrkr9292.0%
 
FuseA44.0%
 
FuseF33.0%
 
FuseP11.0%
 
2022-04-24T18:51:16.856580image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:16.979605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:17.118231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length5
Median length5
Mean length5
Min length5

1stFlrSF
Real number (ℝ≥0)

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1143.53
Minimum520
Maximum2223
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:17.318765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum520
5-th percentile678.45
Q1901.5
median1091.5
Q31325
95-th percentile1752.8
Maximum2223
Range1703
Interquartile range (IQR)423.5

Descriptive statistics

Standard deviation343.4002128
Coefficient of variation (CV)0.3002983855
Kurtosis0.648871465
Mean1143.53
Median Absolute Deviation (MAD)208.5
Skewness0.753346181
Sum114353
Variance117923.7062
MonotocityNot monotonic
2022-04-24T18:51:17.556055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
81622.0%
 
160022.0%
 
106022.0%
 
115822.0%
 
104022.0%
 
118222.0%
 
105722.0%
 
147911.0%
 
108611.0%
 
88511.0%
 
Other values (83)8383.0%
 
ValueCountFrequency (%) 
52011.0%
 
52611.0%
 
58111.0%
 
61211.0%
 
64911.0%
 
ValueCountFrequency (%) 
222311.0%
 
220711.0%
 
184211.0%
 
179511.0%
 
176811.0%
 

2ndFlrSF
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.21
Minimum0
Maximum1519
Zeros65
Zeros (%)65.0%
Memory size800.0 B
2022-04-24T18:51:17.789574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3686
95-th percentile1117.3
Maximum1519
Range1519
Interquartile range (IQR)686

Descriptive statistics

Standard deviation436.0497677
Coefficient of variation (CV)1.467143662
Kurtosis-0.3759015711
Mean297.21
Median Absolute Deviation (MAD)0
Skewness1.040951734
Sum29721
Variance190139.3999
MonotocityNot monotonic
2022-04-24T18:51:18.002296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
06565.0%
 
75622.0%
 
98322.0%
 
96011.0%
 
133011.0%
 
83311.0%
 
76511.0%
 
46211.0%
 
21311.0%
 
54811.0%
 
Other values (24)2424.0%
 
ValueCountFrequency (%) 
06565.0%
 
21311.0%
 
46211.0%
 
53011.0%
 
54811.0%
 
ValueCountFrequency (%) 
151911.0%
 
133011.0%
 
132011.0%
 
121811.0%
 
114211.0%
 

LowQualFinSF
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0
98 
360
 
1
513
 
1
ValueCountFrequency (%) 
09898.0%
 
36011.0%
 
51311.0%
 
2022-04-24T18:51:18.214448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)2.0%
2022-04-24T18:51:18.314364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:18.460072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.04
Min length1

GrLivArea
Real number (ℝ≥0)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1449.47
Minimum520
Maximum2945
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:18.676668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum520
5-th percentile844.5
Q11083.75
median1349.5
Q31717.25
95-th percentile2326.6
Maximum2945
Range2425
Interquartile range (IQR)633.5

Descriptive statistics

Standard deviation470.6571047
Coefficient of variation (CV)0.3247097937
Kurtosis0.176407428
Mean1449.47
Median Absolute Deviation (MAD)309.5
Skewness0.7218085264
Sum144947
Variance221518.1102
MonotocityNot monotonic
2022-04-24T18:51:18.921528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
171022.0%
 
104022.0%
 
106022.0%
 
160022.0%
 
147022.0%
 
178622.0%
 
203411.0%
 
171811.0%
 
84511.0%
 
222311.0%
 
Other values (84)8484.0%
 
ValueCountFrequency (%) 
52011.0%
 
74711.0%
 
78011.0%
 
81611.0%
 
83511.0%
 
ValueCountFrequency (%) 
294511.0%
 
247311.0%
 
245211.0%
 
241711.0%
 
237611.0%
 

BsmtFullBath
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0
56 
1
43 
2
 
1
ValueCountFrequency (%) 
05656.0%
 
14343.0%
 
211.0%
 
2022-04-24T18:51:19.145385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:19.269148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:19.388360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1
Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0
93 
1
 
7
ValueCountFrequency (%) 
09393.0%
 
177.0%
 
2022-04-24T18:51:19.500393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

FullBath
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
1
50 
2
45 
3
 
4
0
 
1
ValueCountFrequency (%) 
15050.0%
 
24545.0%
 
344.0%
 
011.0%
 
2022-04-24T18:51:19.605570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:19.689614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:19.806418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

HalfBath
Boolean

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0
68 
1
32 
ValueCountFrequency (%) 
06868.0%
 
13232.0%
 
2022-04-24T18:51:19.923564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

BedroomAbvGr
Real number (ℝ≥0)

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.71
Minimum0
Maximum4
Zeros1
Zeros (%)1.0%
Memory size800.0 B
2022-04-24T18:51:19.988629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q12
median3
Q33
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7288430018
Coefficient of variation (CV)0.2689457571
Kurtosis1.29197607
Mean2.71
Median Absolute Deviation (MAD)0
Skewness-0.6071837798
Sum271
Variance0.5312121212
MonotocityNot monotonic
2022-04-24T18:51:20.146595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
35656.0%
 
23030.0%
 
41010.0%
 
133.0%
 
011.0%
 
ValueCountFrequency (%) 
011.0%
 
133.0%
 
23030.0%
 
35656.0%
 
41010.0%
 
ValueCountFrequency (%) 
41010.0%
 
35656.0%
 
23030.0%
 
133.0%
 
011.0%
 

KitchenAbvGr
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
1
92 
2
 
7
3
 
1
ValueCountFrequency (%) 
19292.0%
 
277.0%
 
311.0%
 
2022-04-24T18:51:20.363716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:20.493589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:20.622597image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

KitchenQual
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
TA
55 
Gd
38 
Fa
 
4
Ex
 
3
ValueCountFrequency (%) 
TA5555.0%
 
Gd3838.0%
 
Fa44.0%
 
Ex33.0%
 
2022-04-24T18:51:20.804906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:20.926301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:21.072098image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length2
Median length2
Mean length2
Min length2

TotRmsAbvGrd
Real number (ℝ≥0)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.27
Minimum4
Maximum11
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:21.221758image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q15
median6
Q37
95-th percentile9
Maximum11
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.420307265
Coefficient of variation (CV)0.2265242847
Kurtosis0.6701860223
Mean6.27
Median Absolute Deviation (MAD)1
Skewness0.7600158459
Sum627
Variance2.017272727
MonotocityNot monotonic
2022-04-24T18:51:21.385553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%) 
63636.0%
 
52121.0%
 
71818.0%
 
888.0%
 
488.0%
 
977.0%
 
1111.0%
 
1011.0%
 
ValueCountFrequency (%) 
488.0%
 
52121.0%
 
63636.0%
 
71818.0%
 
888.0%
 
ValueCountFrequency (%) 
1111.0%
 
1011.0%
 
977.0%
 
888.0%
 
71818.0%
 

Functional
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Typ
95 
Min1
 
5
ValueCountFrequency (%) 
Typ9595.0%
 
Min155.0%
 
2022-04-24T18:51:21.574907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:21.686839image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:21.806922image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length3
Mean length3.05
Min length3

Fireplaces
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0
54 
1
39 
2
ValueCountFrequency (%) 
05454.0%
 
13939.0%
 
277.0%
 
2022-04-24T18:51:21.991779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:22.119736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:22.242745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

FireplaceQu
Categorical

MISSING

Distinct4
Distinct (%)8.7%
Missing54
Missing (%)54.0%
Memory size800.0 B
Gd
27 
TA
17 
Fa
 
1
Ex
 
1
ValueCountFrequency (%) 
Gd2727.0%
 
TA1717.0%
 
Fa11.0%
 
Ex11.0%
 
(Missing)5454.0%
 
2022-04-24T18:51:22.419585image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)4.3%
2022-04-24T18:51:22.553010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:22.703858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length2.54
Min length2

GarageType
Categorical

MISSING

Distinct5
Distinct (%)5.3%
Missing6
Missing (%)6.0%
Memory size800.0 B
Attchd
55 
Detchd
27 
BuiltIn
CarPort
 
2
Basment
 
1
ValueCountFrequency (%) 
Attchd5555.0%
 
Detchd2727.0%
 
BuiltIn99.0%
 
CarPort22.0%
 
Basment11.0%
 
(Missing)66.0%
 
2022-04-24T18:51:22.880648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.1%
2022-04-24T18:51:23.007543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:23.169333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length6
Mean length5.94
Min length3

GarageYrBlt
Real number (ℝ≥0)

MISSING

Distinct53
Distinct (%)56.4%
Missing6
Missing (%)6.0%
Infinite0
Infinite (%)0.0%
Mean1977.361702
Minimum1900
Maximum2009
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:23.386147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile1920.65
Q11961.25
median1979
Q32002.75
95-th percentile2006.35
Maximum2009
Range109
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation26.60457195
Coefficient of variation (CV)0.01345458037
Kurtosis-0.09931836581
Mean1977.361702
Median Absolute Deviation (MAD)20
Skewness-0.7723485976
Sum185872
Variance707.8032487
MonotocityNot monotonic
2022-04-24T18:51:23.667559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
200566.0%
 
200455.0%
 
200655.0%
 
199844.0%
 
197344.0%
 
200333.0%
 
196633.0%
 
192033.0%
 
200733.0%
 
195933.0%
 
Other values (43)5555.0%
 
(Missing)66.0%
 
ValueCountFrequency (%) 
190011.0%
 
191511.0%
 
192033.0%
 
192111.0%
 
193011.0%
 
ValueCountFrequency (%) 
200911.0%
 
200811.0%
 
200733.0%
 
200655.0%
 
200566.0%
 

GarageFinish
Categorical

MISSING

Distinct3
Distinct (%)3.2%
Missing6
Missing (%)6.0%
Memory size800.0 B
Unf
42 
RFn
34 
Fin
18 
ValueCountFrequency (%) 
Unf4242.0%
 
RFn3434.0%
 
Fin1818.0%
 
(Missing)66.0%
 
2022-04-24T18:51:23.885620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:24.018248image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:24.152132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length3
Mean length3
Min length3

GarageCars
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
2
55 
1
26 
3
13 
0
ValueCountFrequency (%) 
25555.0%
 
12626.0%
 
31313.0%
 
066.0%
 
2022-04-24T18:51:24.350004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:24.478472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:24.637097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

GarageArea
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean466.37
Minimum0
Maximum894
Zeros6
Zeros (%)6.0%
Memory size800.0 B
2022-04-24T18:51:24.840464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1352
median480
Q3576
95-th percentile836.2
Maximum894
Range894
Interquartile range (IQR)224

Descriptive statistics

Standard deviation199.1210816
Coefficient of variation (CV)0.4269594563
Kurtosis0.4252765451
Mean466.37
Median Absolute Deviation (MAD)96
Skewness-0.229985241
Sum46637
Variance39649.20515
MonotocityNot monotonic
2022-04-24T18:51:25.068411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
57677.0%
 
066.0%
 
48055.0%
 
35233.0%
 
48433.0%
 
51633.0%
 
44022.0%
 
52822.0%
 
30822.0%
 
24022.0%
 
Other values (61)6565.0%
 
ValueCountFrequency (%) 
066.0%
 
20511.0%
 
22011.0%
 
24022.0%
 
24611.0%
 
ValueCountFrequency (%) 
89411.0%
 
89011.0%
 
85311.0%
 
85211.0%
 
84011.0%
 

GarageQual
Categorical

MISSING

Distinct3
Distinct (%)3.2%
Missing6
Missing (%)6.0%
Memory size800.0 B
TA
90 
Fa
 
3
Gd
 
1
ValueCountFrequency (%) 
TA9090.0%
 
Fa33.0%
 
Gd11.0%
 
(Missing)66.0%
 
2022-04-24T18:51:25.301533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.1%
2022-04-24T18:51:25.456080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:25.581257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length2.06
Min length2

GarageCond
Categorical

MISSING

Distinct3
Distinct (%)3.2%
Missing6
Missing (%)6.0%
Memory size800.0 B
TA
92 
Fa
 
1
Gd
 
1
ValueCountFrequency (%) 
TA9292.0%
 
Fa11.0%
 
Gd11.0%
 
(Missing)66.0%
 
2022-04-24T18:51:25.759255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)2.1%
2022-04-24T18:51:25.884394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:26.016577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length2.06
Min length2

PavedDrive
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Y
92 
N
 
6
P
 
2
ValueCountFrequency (%) 
Y9292.0%
 
N66.0%
 
P22.0%
 
2022-04-24T18:51:26.216611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:26.356395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:26.492429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length1
Median length1
Mean length1
Min length1

WoodDeckSF
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.82
Minimum0
Maximum857
Zeros52
Zeros (%)52.0%
Memory size800.0 B
2022-04-24T18:51:26.724584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3149.75
95-th percentile303.55
Maximum857
Range857
Interquartile range (IQR)149.75

Descriptive statistics

Standard deviation139.5768772
Coefficient of variation (CV)1.487709201
Kurtosis9.05016187
Mean93.82
Median Absolute Deviation (MAD)0
Skewness2.451938864
Sum9382
Variance19481.70465
MonotocityNot monotonic
2022-04-24T18:51:26.933296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
05252.0%
 
12044.0%
 
19233.0%
 
14422.0%
 
10022.0%
 
24022.0%
 
19622.0%
 
7422.0%
 
30011.0%
 
30111.0%
 
Other values (29)2929.0%
 
ValueCountFrequency (%) 
05252.0%
 
1211.0%
 
4011.0%
 
4811.0%
 
4911.0%
 
ValueCountFrequency (%) 
85711.0%
 
57611.0%
 
40611.0%
 
39211.0%
 
35211.0%
 

OpenPorchSF
Real number (ℝ≥0)

ZEROS

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.9
Minimum0
Maximum258
Zeros42
Zeros (%)42.0%
Memory size800.0 B
2022-04-24T18:51:27.155674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median30
Q372
95-th percentile163.85
Maximum258
Range258
Interquartile range (IQR)72

Descriptive statistics

Standard deviation59.74330612
Coefficient of variation (CV)1.27384448
Kurtosis2.095988255
Mean46.9
Median Absolute Deviation (MAD)30
Skewness1.548020566
Sum4690
Variance3569.262626
MonotocityNot monotonic
2022-04-24T18:51:27.432114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
04242.0%
 
5033.0%
 
2933.0%
 
7233.0%
 
3822.0%
 
8222.0%
 
3022.0%
 
3222.0%
 
2122.0%
 
7011.0%
 
Other values (38)3838.0%
 
ValueCountFrequency (%) 
04242.0%
 
411.0%
 
1111.0%
 
2122.0%
 
2933.0%
 
ValueCountFrequency (%) 
25811.0%
 
23411.0%
 
21311.0%
 
20411.0%
 
19911.0%
 

EnclosedPorch
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.13
Minimum0
Maximum272
Zeros83
Zeros (%)83.0%
Memory size800.0 B
2022-04-24T18:51:27.635258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile177.3
Maximum272
Range272
Interquartile range (IQR)0

Descriptive statistics

Standard deviation60.21101866
Coefficient of variation (CV)2.495276364
Kurtosis5.427858415
Mean24.13
Median Absolute Deviation (MAD)0
Skewness2.527958419
Sum2413
Variance3625.366768
MonotocityNot monotonic
2022-04-24T18:51:27.827336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
08383.0%
 
20522.0%
 
14411.0%
 
4411.0%
 
15611.0%
 
12811.0%
 
20211.0%
 
11411.0%
 
6411.0%
 
3711.0%
 
Other values (7)77.0%
 
ValueCountFrequency (%) 
08383.0%
 
3711.0%
 
4411.0%
 
6411.0%
 
7711.0%
 
ValueCountFrequency (%) 
27211.0%
 
22811.0%
 
20522.0%
 
20211.0%
 
17611.0%
 

3SsnPorch
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0
98 
320
 
1
407
 
1
ValueCountFrequency (%) 
09898.0%
 
32011.0%
 
40711.0%
 
2022-04-24T18:51:28.045835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)2.0%
2022-04-24T18:51:28.184602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:28.327694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.04
Min length1

ScreenPorch
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.16
Minimum0
Maximum291
Zeros95
Zeros (%)95.0%
Memory size800.0 B
2022-04-24T18:51:28.490795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4.95
Maximum291
Range291
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.90883486
Coefficient of variation (CV)4.617011305
Kurtosis22.85336691
Mean10.16
Median Absolute Deviation (MAD)0
Skewness4.801572778
Sum1016
Variance2200.438788
MonotocityNot monotonic
2022-04-24T18:51:28.646617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
09595.0%
 
17611.0%
 
19811.0%
 
29111.0%
 
25211.0%
 
9911.0%
 
ValueCountFrequency (%) 
09595.0%
 
9911.0%
 
17611.0%
 
19811.0%
 
25211.0%
 
ValueCountFrequency (%) 
29111.0%
 
25211.0%
 
19811.0%
 
17611.0%
 
9911.0%
 

PoolArea
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
0
100 
ValueCountFrequency (%) 
0100100.0%
 
2022-04-24T18:51:28.766697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

PoolQC
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing100
Missing (%)100.0%
Memory size928.0 B

Fence
Categorical

MISSING

Distinct3
Distinct (%)13.0%
Missing77
Missing (%)77.0%
Memory size800.0 B
MnPrv
14 
GdWo
GdPrv
ValueCountFrequency (%) 
MnPrv1414.0%
 
GdWo55.0%
 
GdPrv44.0%
 
(Missing)7777.0%
 
2022-04-24T18:51:28.894627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:29.014089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:29.175227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length5
Median length3
Mean length3.41
Min length3

MiscFeature
Categorical

MISSING

Distinct1
Distinct (%)11.1%
Missing91
Missing (%)91.0%
Memory size800.0 B
Shed
ValueCountFrequency (%) 
Shed99.0%
 
(Missing)9191.0%
 
2022-04-24T18:51:29.368256image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2022-04-24T18:51:29.481572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:29.579864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length4
Median length3
Mean length3.09
Min length3

MiscVal
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.3
Minimum0
Maximum700
Zeros91
Zeros (%)91.0%
Memory size800.0 B
2022-04-24T18:51:29.730818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile404
Maximum700
Range700
Interquartile range (IQR)0

Descriptive statistics

Standard deviation153.6929577
Coefficient of variation (CV)3.319502327
Kurtosis10.01392525
Mean46.3
Median Absolute Deviation (MAD)0
Skewness3.306726439
Sum4630
Variance23621.52525
MonotocityNot monotonic
2022-04-24T18:51:29.895447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
09191.0%
 
70033.0%
 
40033.0%
 
35011.0%
 
50011.0%
 
48011.0%
 
ValueCountFrequency (%) 
09191.0%
 
35011.0%
 
40033.0%
 
48011.0%
 
50011.0%
 
ValueCountFrequency (%) 
70033.0%
 
50011.0%
 
48011.0%
 
40033.0%
 
35011.0%
 

MoSold
Real number (ℝ≥0)

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.33
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:30.072912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14.75
median6
Q38
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation3.048612866
Coefficient of variation (CV)0.4816134069
Kurtosis-0.7052229442
Mean6.33
Median Absolute Deviation (MAD)2
Skewness0.08530410432
Sum633
Variance9.294040404
MonotocityNot monotonic
2022-04-24T18:51:30.241684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%) 
51717.0%
 
71313.0%
 
61212.0%
 
899.0%
 
1088.0%
 
277.0%
 
477.0%
 
177.0%
 
1266.0%
 
955.0%
 
Other values (2)99.0%
 
ValueCountFrequency (%) 
177.0%
 
277.0%
 
344.0%
 
477.0%
 
51717.0%
 
ValueCountFrequency (%) 
1266.0%
 
1155.0%
 
1088.0%
 
955.0%
 
899.0%
 

YrSold
Real number (ℝ≥0)

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.9
Minimum2006
Maximum2010
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:30.413074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2006
Q12007
median2008
Q32009
95-th percentile2010
Maximum2010
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.359589956
Coefficient of variation (CV)0.0006771203526
Kurtosis-1.196581483
Mean2007.9
Median Absolute Deviation (MAD)1
Skewness0.1107334042
Sum200790
Variance1.848484848
MonotocityNot monotonic
2022-04-24T18:51:30.585977image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%) 
20072424.0%
 
20082121.0%
 
20092020.0%
 
20061919.0%
 
20101616.0%
 
ValueCountFrequency (%) 
20061919.0%
 
20072424.0%
 
20082121.0%
 
20092020.0%
 
20101616.0%
 
ValueCountFrequency (%) 
20101616.0%
 
20092020.0%
 
20082121.0%
 
20072424.0%
 
20061919.0%
 

SaleType
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
WD
89 
New
 
7
COD
 
3
ConLD
 
1
ValueCountFrequency (%) 
WD8989.0%
 
New77.0%
 
COD33.0%
 
ConLD11.0%
 
2022-04-24T18:51:30.786747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:30.914841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:31.057213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length5
Median length2
Mean length2.13
Min length2

SaleCondition
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size800.0 B
Normal
82 
Abnorml
10 
Partial
 
7
AdjLand
 
1
ValueCountFrequency (%) 
Normal8282.0%
 
Abnorml1010.0%
 
Partial77.0%
 
AdjLand11.0%
 
2022-04-24T18:51:31.257059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)1.0%
2022-04-24T18:51:31.396502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:51:31.552646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length7
Median length6
Mean length6.18
Min length6

SalePrice
Real number (ℝ≥0)

Distinct93
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173820.66
Minimum40000
Maximum438780
Zeros0
Zeros (%)0.0%
Memory size800.0 B
2022-04-24T18:51:31.760923image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum40000
5-th percentile84900
Q1129362.5
median153750
Q3207750
95-th percentile317145
Maximum438780
Range398780
Interquartile range (IQR)78387.5

Descriptive statistics

Standard deviation72236.55289
Coefficient of variation (CV)0.4155809378
Kurtosis1.546005687
Mean173820.66
Median Absolute Deviation (MAD)33500
Skewness1.17834623
Sum17382066
Variance5218119573
MonotocityNot monotonic
2022-04-24T18:51:32.010373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11000022.0%
 
12700022.0%
 
14000022.0%
 
18500022.0%
 
12990022.0%
 
12950022.0%
 
14400022.0%
 
20250011.0%
 
24400011.0%
 
22500011.0%
 
Other values (83)8383.0%
 
ValueCountFrequency (%) 
4000011.0%
 
6850011.0%
 
8000011.0%
 
8200011.0%
 
8300011.0%
 
ValueCountFrequency (%) 
43878011.0%
 
38500011.0%
 
34500011.0%
 
32530011.0%
 
31990011.0%
 

Interactions

2022-04-24T18:49:29.366122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.459863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.506732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.569231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.616110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.678589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.741091image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.787964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.851779image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.914514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:29.977396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.024273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.084466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.146974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.209464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.271765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.327396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.389893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.530500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.592986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.639858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.702353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.764849image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.812143image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.874645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.938250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:30.985124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.047617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.110111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.172900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.235781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.298280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.360783image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.423266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.485750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.548244image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.610738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.657617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.735742image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.798219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.860717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.907605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:31.970080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.048198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.095068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.173181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.235674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.298170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.454406image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.516900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.579386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.626264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.688759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:49:32.751267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-04-24T18:50:21.784461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:21.980951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:22.153111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:22.356148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:22.528076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:22.704157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:22.876658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:23.048515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:23.221720image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:23.394848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:23.566710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:23.738571image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:23.910348image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:24.066659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:24.246529image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:24.403826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:24.590166image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:24.747160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:24.944431image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:25.118509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:25.293276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:25.465787image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:25.637624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:25.809632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:25.990800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:26.162907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:26.334790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:26.518976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:26.692092image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:26.872541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:27.060020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:27.249473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:27.413808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:27.590693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:27.780184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:27.953349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:28.140832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:28.330095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:28.518695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:28.706527image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:28.881751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:29.053685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:29.226997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:29.407788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:29.595282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:29.767134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:29.956125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:30.144506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:30.310114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:30.466349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:30.643362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:30.804207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:30.930902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:31.036625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:31.192995image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:31.363782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:31.521072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:31.695408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:31.867337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:32.039201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:32.195430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:32.367303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:32.539076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:32.701483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:32.873344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:33.045201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:33.217060image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:34.371637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:34.527870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:34.689631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:34.845864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:35.018274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:35.186219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:35.342451image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:35.514309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:35.701714image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:35.889192image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:36.076753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:36.264227image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:36.451713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:36.658218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:36.846812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:37.034302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:37.237402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:37.424888image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:37.612368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:37.815459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:38.018572image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:38.206049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:38.409160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:38.612261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:38.789913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:38.993001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:39.196117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:39.383590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:39.587184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:39.772136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:39.976170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:40.163653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:40.355162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:40.542712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:40.736258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:40.940266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:41.159253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:41.331112image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:41.534212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:41.706066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:41.897137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:42.100155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:42.287702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:42.475193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:42.682556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:42.870750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:43.073845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:43.261329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:43.465870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:43.641405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:43.845424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:44.048535image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:44.237430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:44.440904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:44.640902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:44.837204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:45.037611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:45.219508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:45.406823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:45.600473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:45.786495image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:45.987562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:46.170119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:46.392411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2022-04-24T18:51:32.347735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-04-24T18:51:33.078194image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-04-24T18:51:33.790378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-04-24T18:51:34.627696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2022-04-24T18:51:36.942670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2022-04-24T18:50:47.283151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:53.295750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:55.191653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-24T18:50:55.904617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Sample

First rows

IdMSSubClassMSZoningLotFrontageLotAreaStreetAlleyLotShapeLandContourUtilitiesLotConfigLandSlopeNeighborhoodCondition1Condition2BldgTypeHouseStyleOverallQualOverallCondYearBuiltYearRemodAddRoofStyleRoofMatlExterior1stExterior2ndMasVnrTypeMasVnrAreaExterQualExterCondFoundationBsmtQualBsmtCondBsmtExposureBsmtFinType1BsmtFinSF1BsmtFinType2BsmtFinSF2BsmtUnfSFTotalBsmtSFHeatingHeatingQCCentralAirElectrical1stFlrSF2ndFlrSFLowQualFinSFGrLivAreaBsmtFullBathBsmtHalfBathFullBathHalfBathBedroomAbvGrKitchenAbvGrKitchenQualTotRmsAbvGrdFunctionalFireplacesFireplaceQuGarageTypeGarageYrBltGarageFinishGarageCarsGarageAreaGarageQualGarageCondPavedDriveWoodDeckSFOpenPorchSFEnclosedPorch3SsnPorchScreenPorchPoolAreaPoolQCFenceMiscFeatureMiscValMoSoldYrSoldSaleTypeSaleConditionSalePrice
0160RL65.08450PaveNaNRegLvlAllPubInsideGtlCollgCrNormNorm1Fam2Story7520032003GableCompShgVinylSdVinylSdBrkFace196GdTAPConcGdTANoGLQ706Unf0150856GasAExYSBrkr85685401710102131Gd8Typ0NaNAttchd2003.0RFn2548TATAY0610000NaNNaNNaN022008WDNormal208500
1220RL80.09600PaveNaNRegLvlAllPubFR2GtlVeenkerFeedrNorm1Fam1Story6819761976GableCompShgMetalSdMetalSdNone0TATACBlockGdTAGdALQ978Unf02841262GasAExYSBrkr1262001262012031TA6Typ1TAAttchd1976.0RFn2460TATAY29800000NaNNaNNaN052007WDNormal181500
2360RL68.011250PaveNaNIR1LvlAllPubInsideGtlCollgCrNormNorm1Fam2Story7520012002GableCompShgVinylSdVinylSdBrkFace162GdTAPConcGdTAMnGLQ486Unf0434920GasAExYSBrkr92086601786102131Gd6Typ1TAAttchd2001.0RFn2608TATAY0420000NaNNaNNaN092008WDNormal223500
3470RL60.09550PaveNaNIR1LvlAllPubCornerGtlCrawforNormNorm1Fam2Story7519151970GableCompShgWd SdngWd ShngNone0TATABrkTilTAGdNoALQ216Unf0540756GasAGdYSBrkr96175601717101031Gd7Typ1GdDetchd1998.0Unf3642TATAY035272000NaNNaNNaN022006WDAbnorml140000
4560RL84.014260PaveNaNIR1LvlAllPubFR2GtlNoRidgeNormNorm1Fam2Story8520002000GableCompShgVinylSdVinylSdBrkFace350GdTAPConcGdTAAvGLQ655Unf04901145GasAExYSBrkr1145105302198102141Gd9Typ1TAAttchd2000.0RFn3836TATAY192840000NaNNaNNaN0122008WDNormal250000
5650RL85.014115PaveNaNIR1LvlAllPubInsideGtlMitchelNormNorm1Fam1.5Fin5519931995GableCompShgVinylSdVinylSdNone0TATAWoodGdTANoGLQ732Unf064796GasAExYSBrkr79656601362101111TA5Typ0NaNAttchd1993.0Unf2480TATAY4030032000NaNMnPrvShed700102009WDNormal143000
6720RL75.010084PaveNaNRegLvlAllPubInsideGtlSomerstNormNorm1Fam1Story8520042005GableCompShgVinylSdVinylSdStone186GdTAPConcExTAAvGLQ1369Unf03171686GasAExYSBrkr1694001694102031Gd7Typ1GdAttchd2004.0RFn2636TATAY255570000NaNNaNNaN082007WDNormal307000
7860RLNaN10382PaveNaNIR1LvlAllPubCornerGtlNWAmesPosNNorm1Fam2Story7619731973GableCompShgHdBoardHdBoardStone240TATACBlockGdTAMnALQ859BLQ322161107GasAExYSBrkr110798302090102131TA7Typ2TAAttchd1973.0RFn2484TATAY235204228000NaNNaNShed350112009WDNormal200000
8950RM51.06120PaveNaNRegLvlAllPubInsideGtlOldTownArteryNorm1Fam1.5Fin7519311950GableCompShgBrkFaceWd ShngNone0TATABrkTilTATANoUnf0Unf0952952GasAGdYFuseF102275201774002022TA8Min12TADetchd1931.0Unf2468FaTAY900205000NaNNaNNaN042008WDAbnorml129900
910190RL50.07420PaveNaNRegLvlAllPubCornerGtlBrkSideArteryArtery2fmCon1.5Unf5619391950GableCompShgMetalSdMetalSdNone0TATABrkTilTATANoGLQ851Unf0140991GasAExYSBrkr1077001077101022TA5Typ2TAAttchd1939.0RFn1205GdTAY040000NaNNaNNaN012008WDNormal118000

Last rows

IdMSSubClassMSZoningLotFrontageLotAreaStreetAlleyLotShapeLandContourUtilitiesLotConfigLandSlopeNeighborhoodCondition1Condition2BldgTypeHouseStyleOverallQualOverallCondYearBuiltYearRemodAddRoofStyleRoofMatlExterior1stExterior2ndMasVnrTypeMasVnrAreaExterQualExterCondFoundationBsmtQualBsmtCondBsmtExposureBsmtFinType1BsmtFinSF1BsmtFinType2BsmtFinSF2BsmtUnfSFTotalBsmtSFHeatingHeatingQCCentralAirElectrical1stFlrSF2ndFlrSFLowQualFinSFGrLivAreaBsmtFullBathBsmtHalfBathFullBathHalfBathBedroomAbvGrKitchenAbvGrKitchenQualTotRmsAbvGrdFunctionalFireplacesFireplaceQuGarageTypeGarageYrBltGarageFinishGarageCarsGarageAreaGarageQualGarageCondPavedDriveWoodDeckSFOpenPorchSFEnclosedPorch3SsnPorchScreenPorchPoolAreaPoolQCFenceMiscFeatureMiscValMoSoldYrSoldSaleTypeSaleConditionSalePrice
909120RL60.07200PaveNaNRegLvlAllPubInsideGtlNAmesNormNorm1Fam1Story4519501950GableCompShgBrkFaceWd SdngNone0TATASlabNaNNaNNaNNaN0NaN000GasATAYFuseA1040001040001021TA4Typ0NaNDetchd1950.0Unf2420TATAY0290000NaNNaNNaN072006WDNormal109900
919220RL85.08500PaveNaNRegLvlAllPubInsideGtlNAmesNormNorm1Fam1Story5319611961HipCompShgHdBoardHdBoardBrkCmn203TATACBlockTATANoRec600Unf06351235GasATAYSBrkr1235001235001021TA6Typ0NaNAttchd1961.0Unf2480TATAY000000NaNGdWoNaN0122006WDAbnorml98600
929330RL80.013360PaveGrvlIR1HLSAllPubInsideGtlCrawforNormNorm1Fam1Story5719212006GableCompShgWd SdngWd SdngNone0TAGdBrkTilGdTANoALQ713Unf0163876GasAExYSBrkr96400964101021TA5Typ0NaNDetchd1921.0Unf2432TATAY0044000NaNNaNNaN082009WDNormal163500
9394190C (all)60.07200PaveNaNRegLvlAllPubCornerGtlOldTownNormNorm2fmCon2.5Unf6619101998HipCompShgMetalSdMetalSdNone0TATABrkTilTAFaMnRec1046Unf01681214GasWExNSBrkr1260103102291012042TA9Typ1GdDetchd1900.0Unf2506TATAY0000990NaNNaNNaN0112007WDNormal133900
949560RL69.09337PaveNaNIR1LvlAllPubInsideGtlCollgCrNormNorm1Fam2Story6519971997GableCompShgVinylSdVinylSdNone0TAGdPConcGdTANoGLQ648Unf0176824GasAExYSBrkr90588101786102131Gd7Typ0NaNAttchd1997.0RFn2684TATAY01620000NaNNaNNaN052007WDNormal204750
959660RLNaN9765PaveNaNIR2LvlAllPubCornerGtlGilbertNormNorm1Fam2Story6819931993GableCompShgVinylSdVinylSdBrkFace68ExGdPConcGdGdNoALQ310Unf0370680GasAGdYSBrkr68079001470002131TA6Typ1TABuiltIn1993.0Fin2420TATAY232630000NaNNaNShed48042009WDNormal185000
969720RL78.010264PaveNaNIR1LvlAllPubInsideGtlCollgCrNormNorm1Fam1Story7519991999GableCompShgVinylSdVinylSdBrkFace183GdTAPConcGdTAAvALQ1162Unf04261588GasAExYSBrkr1588001588002031Gd6Typ0NaNAttchd1999.0RFn2472TATAY158290000NaNNaNNaN082006WDNormal214000
979820RL73.010921PaveNaNRegHLSAllPubInsideGtlEdwardsNormNorm1Fam1Story4519651965HipCompShgHdBoardHdBoardBrkFace48TATACBlockTATANoRec520Unf0440960GasATAYFuseF96000960101031TA6Typ0NaNAttchd1965.0Fin1432TATAP12000000NaNNaNNaN052007WDNormal94750
989930RL85.010625PaveNaNRegLvlAllPubCornerGtlEdwardsNormNorm1Fam1Story5519201950GableCompShgWd SdngWd SdngNone0TATABrkTilTATANoALQ108Unf0350458GasAFaNSBrkr83500835001021TA5Typ0NaNBasment1920.0Unf1366FaTAY0077000NaNNaNShed40052010CODAbnorml83000
9910020RL77.09320PaveNaNIR1LvlAllPubInsideGtlNAmesNormNorm1Fam1Story4519591959GableCompShgPlywoodPlywoodNone0TATACBlockTATANoALQ569Unf0381950GasAFaYSBrkr1225001225101131TA6Typ0NaNNaNNaNNaN00NaNNaNY35200000NaNNaNShed40012010WDNormal128950